I am a research scientist in the Marine Systems Modelling group specialising in numerical ocean modelling and the design of data systems for marine science. My work focusses on developing global ocean model simulations, including nested and high-resolution configurations of the Nucleus for European Modelling of the Ocean (NEMO) community model, to investigate past, present and future ocean circulation & climate variability.
I have extensive expertise in the preparation and analysis of terabyte-scale ocean model datasets using Python (Pangeo stack) and in developing efficient cloud-based data workflows using emerging technologies (e.g., STAC, Zarr, Icechunk etc.). I am dedicated to advancing open and reproducible ocean science by designing tools that improve accessibility and interoperability of ocean model data.
My current scientific research interests include:
- Exploring the circulation pathways responsible for Atlantic Meridional Overturning Circulation variability using Lagrangian techniques.
- Leveraging the water mass transformation framework to investigate ocean tipping points in response to global climate change.
- Utilising computer vision techniques to downscale ocean model simulations towards eddy-rich resolutions.
By combining technical innovation with scientific analysis, my works seeks to bridge the gap between numerical model outputs and the need for a deeper understanding of how & why our ocean are changing in response to climate change.
- Large-Scale Ocean Modelling
- JMMP Model Development
- AtlantiS - Atlantic Climate and Environment Strategic Science (2024-2029)
- OptimESM - Optimal High Resolution Earth System Models for Exploring Future Climate Change (2023-2028)
- ARIA PROMOTE - Progressing Earth System Modelling for Tipping Point Early Warning Systems (2025-2030)